Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid quantum evolutionary algorithms (QEA) based on combining QEA with particle swarm optimization (PSO).
将量子进化算法(QEA)和粒子群算法(PSO)互相结合,提出了两种混合量子进化算法。
QEA is more suitable for parallel structure than the conventional evolutionary algorithms because of rapid convergence and good global search capability.
此外,量子进化算法具有收敛快和好的全局搜索特性,因此它比传统的进化算法更适于并行结构的实现。
Inspired by the idea of hybrid optimization algorithms, this paper proposes two hybrid Quantum Evolutionary algorithms (QEA) based on combining QEA with Particle Swarm optimization (PSO).